484-12 - Announcements Homework 5 due today October 30 Book...

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CS 484 – Artificial Intelligence 1 Announcements Homework 5 due today, October 30 Book Review due today, October 30 Lab 3 due Thursday, November 1 Homework 6 due Tuesday, November 6 Current Event Kay - today Chelsea - Thursday, November 1
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Neural Networks Lecture 12
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CS 484 – Artificial Intelligence 3 Artificial Neural Networks Artificial neural networks (ANNs) provide a practical method for learning real-valued functions discrete-valued functions vector-valued functions Robust to errors in training data Successfully applied to such problems as interpreting visual scenes speech recognition learning robot control strategies
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CS 484 – Artificial Intelligence 4 Biological Neurons The human brain is made up of billions of simple processing units – neurons. Inputs are received on dendrites, and if the input levels are over a threshold, the neuron fires, passing a signal through the axon to the synapse which then connects to another neuron.
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CS 484 – Artificial Intelligence 5 Neural Network Representation ALVINN uses a learned ANN to steer an autonomous vehicle driving at normal speeds on public highways Input to network: 30x32 grid of pixel intensities obtained from a forward-pointed camera mounted on the vehicle Output: direction in which the vehicle is steered Trained to mimic observed steering commands of a human driving the vehicle for approximately 5 minutes
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CS 484 – Artificial Intelligence 6 ALVINN
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CS 484 – Artificial Intelligence 7 Appropriate problems ANN learning well-suit to problems which the training data corresponds to noisy, complex data (inputs from cameras or microphones) Can also be used for problems with symbolic representations Most appropriate for problems where Instances have many attribute-value pairs Target function output may be discrete-valued, real-valued, or a vector of several real- or discrete-valued attributes Training examples may contain errors Long training times are acceptable Fast evaluation of the learned target function may be required The ability for humans to understand the learned target function is not important
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